alexa Abstract | Developing an Intelligent Recommendation System for Course Selection by Students for Graduate Courses
ISSN: 2151-6219

Business and Economics Journal
Open Access

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Research Article Open Access


Choosing a right course in formative years is very important decision as his future depends on this one decision. Student by himself is not mature enough to take right decision in his early life. Selecting wrong courses means mismatch between student aptitude, capability and personal interest. Faculty or parents have neither the required knowledge nor experience. Since there is no other reliable source generally available that can guide the student towards the most suitable direction, recommender system has been evolved to provide him guidance in selecting a right course. Recommender system is a computer programme prepared with the help of experts where the details of background of the students and their aptitudes help finding a course for his future study. This paper proposes feasible predictions for student’s course selection based on their marks and choice of job interest. Clustering technique is used to find structures and relationship within the data. This paper also reveals the research process of preparation of such a recommender system.

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Author(s): Grewal DS, Kaur K


Recommender system, Courses, Clustering technique, Accounting Review, International Business, Indexation, Profitability, Time Series, Panel Data, Empirical Analysis, Stock Market Returns, Human Capital, Monetary Policy , Small Firms, Business Cycle, Banking Research Studies, Capital Structure, Economics Studies, Financial plan, Fiscal and tax policies , Avenues of Investment, Wealth Management, Business Theory, Organizational studies, Parameter Estimation

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